Research on illegal E-mails recognition Based on Bayesian Formula and Statistical Decision Tree

摘要

This paper introduces an algorithm based on Bayesian Statistics and Statistical Decision Tree(SDT) to recognize illegal E-mails. At first, Bayesian Statistics can filter some specifical words which are often used in illegal E-mails. Then, SDT can determine megal E-mails by Semanteme analyse. After those two process, the illegal E-mails can also be easily determined and the recognition rate of illegal E-mails has been improved.